Overview

Dataset statistics

Number of variables56
Number of observations18888
Missing cells10759
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 MiB
Average record size in memory315.0 B

Variable types

NUM27
BOOL19
CAT9
DATE1

Warnings

fire_size_class has constant value "18888" Constant
fire_mag has constant value "18888" Constant
fire_name has a high cardinality: 7576 distinct values High cardinality
state has a high cardinality: 51 distinct values High cardinality
disc_date_pre has a high cardinality: 6624 distinct values High cardinality
wstation_usaf has a high cardinality: 1545 distinct values High cardinality
weather_file has a high cardinality: 7513 distinct values High cardinality
Temp_pre_15 is highly correlated with Temp_pre_30 and 2 other fieldsHigh correlation
Temp_pre_30 is highly correlated with Temp_pre_15 and 2 other fieldsHigh correlation
Temp_pre_7 is highly correlated with Temp_pre_30 and 2 other fieldsHigh correlation
Temp_cont is highly correlated with Temp_pre_30 and 2 other fieldsHigh correlation
Wind_pre_15 is highly correlated with Wind_pre_30High correlation
Wind_pre_30 is highly correlated with Wind_pre_15High correlation
Hum_pre_15 is highly correlated with Hum_pre_30 and 1 other fieldsHigh correlation
Hum_pre_30 is highly correlated with Hum_pre_15High correlation
Hum_pre_7 is highly correlated with Hum_pre_15High correlation
remoteness is highly correlated with longitudeHigh correlation
longitude is highly correlated with remotenessHigh correlation
disc_pre_month is highly correlated with discovery_monthHigh correlation
discovery_month is highly correlated with disc_pre_monthHigh correlation
fire_name has 10759 (57.0%) missing values Missing
Prec_pre_30 is highly skewed (γ1 = 45.06388425) Skewed
fire_name is uniformly distributed Uniform
df_index has unique values Unique
Prec_pre_30 has 8533 (45.2%) zeros Zeros
Prec_pre_15 has 9945 (52.7%) zeros Zeros
Prec_pre_7 has 12147 (64.3%) zeros Zeros
Prec_cont has 13469 (71.3%) zeros Zeros

Reproduction

Analysis started2022-11-30 02:01:46.090506
Analysis finished2022-11-30 02:04:41.769395
Duration2 minutes and 55.68 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

df_index
Real number (ℝ≥0)

UNIQUE

Distinct18888
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24999.60663
Minimum1
Maximum49999
Zeros0
Zeros (%)0.0%
Memory size147.6 KiB
2022-11-29T19:04:41.967933image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2490.7
Q112463
median25032.5
Q337491.5
95-th percentile47511.25
Maximum49999
Range49998
Interquartile range (IQR)25028.5

Descriptive statistics

Standard deviation14453.16028
Coefficient of variation (CV)0.5781355081
Kurtosis-1.200386733
Mean24999.60663
Median Absolute Deviation (MAD)12512.5
Skewness-0.0001189252682
Sum472192570
Variance208893842.1
MonotocityStrictly increasing
2022-11-29T19:04:42.320041image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
11< 0.1%
 
332641< 0.1%
 
333121< 0.1%
 
333111< 0.1%
 
333031< 0.1%
 
333011< 0.1%
 
333001< 0.1%
 
332981< 0.1%
 
332951< 0.1%
 
332891< 0.1%
 
Other values (18878)1887899.9%
 
ValueCountFrequency (%) 
11< 0.1%
 
31< 0.1%
 
71< 0.1%
 
81< 0.1%
 
91< 0.1%
 
ValueCountFrequency (%) 
499991< 0.1%
 
499951< 0.1%
 
499941< 0.1%
 
499911< 0.1%
 
499901< 0.1%
 

fire_name
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct7576
Distinct (%)93.2%
Missing10759
Missing (%)57.0%
Memory size147.6 KiB
GRASS FIRE
 
72
STATE
 
21
LOCAL
 
11
LOCAL FIRE
 
9
SPRING
 
8
Other values (7571)
8008 
ValueCountFrequency (%) 
GRASS FIRE720.4%
 
STATE 210.1%
 
LOCAL 110.1%
 
LOCAL FIRE 9< 0.1%
 
SPRING8< 0.1%
 
UNKNOWN8< 0.1%
 
RIVER8< 0.1%
 
BRUSH FIRE7< 0.1%
 
POWERLINE6< 0.1%
 
TRASH FIRE6< 0.1%
 
Other values (7566)797342.2%
 
(Missing)1075957.0%
 
2022-11-29T19:04:42.649097image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique7257 ?
Unique (%)89.3%
2022-11-29T19:04:42.909153image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length50
Median length3
Mean length7.106628547
Min length1

fire_size
Real number (ℝ≥0)

Distinct290
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.560448462
Minimum0.51
Maximum3.49
Zeros0
Zeros (%)0.0%
Memory size147.6 KiB
2022-11-29T19:04:43.156169image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.51
5-th percentile0.75
Q11
median1
Q32
95-th percentile3
Maximum3.49
Range2.98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7415684499
Coefficient of variation (CV)0.4752277746
Kurtosis-0.6079638547
Mean1.560448462
Median Absolute Deviation (MAD)0.3
Skewness0.8072540908
Sum29473.75055
Variance0.5499237659
MonotocityNot monotonic
2022-11-29T19:04:43.359072image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1776741.1%
 
2372819.7%
 
3218211.6%
 
1.58844.7%
 
2.53702.0%
 
0.82891.5%
 
0.752441.3%
 
0.62281.2%
 
0.72121.1%
 
1.21380.7%
 
Other values (280)284615.1%
 
ValueCountFrequency (%) 
0.51130.1%
 
0.52140.1%
 
0.53150.1%
 
0.54190.1%
 
0.55210.1%
 
ValueCountFrequency (%) 
3.493< 0.1%
 
3.482< 0.1%
 
3.47161< 0.1%
 
3.472< 0.1%
 
3.463< 0.1%
 

fire_size_class
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size147.6 KiB
B
18888 
ValueCountFrequency (%) 
B18888100.0%
 
2022-11-29T19:04:43.581083image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-11-29T19:04:43.769156image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:44.062144image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

latitude
Real number (ℝ≥0)

Distinct17491
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.81479156
Minimum17.969381
Maximum67.1329
Zeros0
Zeros (%)0.0%
Memory size147.6 KiB
2022-11-29T19:04:44.545314image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum17.969381
5-th percentile29.00049
Q132.26363516
median34.4231105
Q339.18972227
95-th percentile46.649043
Maximum67.1329
Range49.163519
Interquartile range (IQR)6.92608711

Descriptive statistics

Standard deviation5.826988766
Coefficient of variation (CV)0.1626978271
Kurtosis1.880657838
Mean35.81479156
Median Absolute Deviation (MAD)2.8387105
Skewness0.5051891871
Sum676469.783
Variance33.95379807
MonotocityNot monotonic
2022-11-29T19:04:44.957454image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
47.8666110.1%
 
33.3501100.1%
 
18.4034949< 0.1%
 
35.28339< 0.1%
 
18.3051158< 0.1%
 
33.33537< 0.1%
 
35.37< 0.1%
 
18.4711787< 0.1%
 
35.83337< 0.1%
 
18.3741287< 0.1%
 
Other values (17481)1880699.6%
 
ValueCountFrequency (%) 
17.9693814< 0.1%
 
17.9697841< 0.1%
 
17.980277781< 0.1%
 
17.9917432< 0.1%
 
17.9920162< 0.1%
 
ValueCountFrequency (%) 
67.13291< 0.1%
 
67.02221< 0.1%
 
66.91< 0.1%
 
66.83331< 0.1%
 
66.73031< 0.1%
 

longitude
Real number (ℝ)

HIGH CORRELATION

Distinct17908
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-92.75908034
Minimum-165.1167
Maximum-65.417709
Zeros0
Zeros (%)0.0%
Memory size147.6 KiB
2022-11-29T19:04:45.209463image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-165.1167
5-th percentile-120.8938889
Q1-98.35386389
median-89.95781234
Q3-82.180825
95-th percentile-74.1612455
Maximum-65.417709
Range99.698991
Interquartile range (IQR)16.17303889

Descriptive statistics

Standard deviation14.25110505
Coefficient of variation (CV)-0.1536356871
Kurtosis0.9485488137
Mean-92.75908034
Median Absolute Deviation (MAD)8.048475
Skewness-0.925160463
Sum-1752033.51
Variance203.0939951
MonotocityNot monotonic
2022-11-29T19:04:45.453425image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-110.4573110.1%
 
-67.0810789< 0.1%
 
-110.46738< 0.1%
 
-110.45078< 0.1%
 
-67.230278< 0.1%
 
-79.557< 0.1%
 
-66.6675957< 0.1%
 
-67.1577767< 0.1%
 
-110.4347< 0.1%
 
-67.0752797< 0.1%
 
Other values (17898)1880999.6%
 
ValueCountFrequency (%) 
-165.11671< 0.1%
 
-162.56671< 0.1%
 
-161.0681< 0.1%
 
-161.01671< 0.1%
 
-160.121< 0.1%
 
ValueCountFrequency (%) 
-65.4177093< 0.1%
 
-65.6279071< 0.1%
 
-65.8064271< 0.1%
 
-65.8274461< 0.1%
 
-66.0263981< 0.1%
 

state
Categorical

HIGH CARDINALITY

Distinct51
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size147.6 KiB
TX
2855 
GA
1832 
CA
1530 
MS
1170 
NC
 
1010
Other values (46)
10491 
ValueCountFrequency (%) 
TX285515.1%
 
GA18329.7%
 
CA15308.1%
 
MS11706.2%
 
NC10105.3%
 
NY9805.2%
 
SC8694.6%
 
FL8224.4%
 
AL6783.6%
 
AR5673.0%
 
Other values (41)657534.8%
 
2022-11-29T19:04:45.788589image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
2022-11-29T19:04:46.012592image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length2
Median length2
Mean length2
Min length2
Distinct6624
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Memory size147.6 KiB
Minimum1992-01-01 00:00:00
Maximum2015-12-24 00:00:00
2022-11-29T19:04:46.231591image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:46.496590image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

discovery_month
Categorical

HIGH CORRELATION

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size147.6 KiB
Apr
2802 
Mar
2606 
Jul
1781 
Aug
1701 
Feb
1662 
Other values (7)
8336 
ValueCountFrequency (%) 
Apr280214.8%
 
Mar260613.8%
 
Jul17819.4%
 
Aug17019.0%
 
Feb16628.8%
 
May16398.7%
 
Jun14537.7%
 
Sep12046.4%
 
Jan11996.3%
 
Oct11856.3%
 
Other values (2)16568.8%
 
2022-11-29T19:04:46.875593image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-11-29T19:04:47.092590image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length3
Mean length3
Min length3

disc_date_pre
Categorical

HIGH CARDINALITY

Distinct6624
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Memory size147.6 KiB
1/11/2008
 
22
3/18/2005
 
20
3/31/2006
 
18
1/16/2006
 
18
1/20/2011
 
17
Other values (6619)
18793 
ValueCountFrequency (%) 
1/11/2008220.1%
 
3/18/2005200.1%
 
3/31/2006180.1%
 
1/16/2006180.1%
 
1/20/2011170.1%
 
3/16/2009170.1%
 
3/17/2005160.1%
 
3/20/2008160.1%
 
3/18/2008160.1%
 
3/19/2009160.1%
 
Other values (6614)1871299.1%
 
2022-11-29T19:04:47.347619image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2158 ?
Unique (%)11.4%
2022-11-29T19:04:47.563620image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length10
Median length9
Mean length8.84540449
Min length8

disc_pre_year
Real number (ℝ≥0)

Distinct25
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2004.992694
Minimum1991
Maximum2015
Zeros0
Zeros (%)0.0%
Memory size147.6 KiB
2022-11-29T19:04:47.749622image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1991
5-th percentile1993
Q12000
median2006
Q32010
95-th percentile2014
Maximum2015
Range24
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.408678461
Coefficient of variation (CV)0.003196360007
Kurtosis-0.8740780879
Mean2004.992694
Median Absolute Deviation (MAD)5
Skewness-0.3722442741
Sum37870302
Variance41.07115962
MonotocityNot monotonic
2022-11-29T19:04:47.932582image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
200613036.9%
 
200712226.5%
 
200512106.4%
 
201111916.3%
 
200811566.1%
 
201010535.6%
 
20099294.9%
 
20128924.7%
 
20007944.2%
 
20147894.2%
 
Other values (15)834944.2%
 
ValueCountFrequency (%) 
1991320.2%
 
19924812.5%
 
19935052.7%
 
19945472.9%
 
19955803.1%
 
ValueCountFrequency (%) 
20157614.0%
 
20147894.2%
 
20137764.1%
 
20128924.7%
 
201111916.3%
 

disc_pre_month
Categorical

HIGH CORRELATION

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size147.6 KiB
Mar
2899 
Feb
2424 
Jan
1801 
Jun
1734 
Jul
1704 
Other values (7)
8326 
ValueCountFrequency (%) 
Mar289915.3%
 
Feb242412.8%
 
Jan18019.5%
 
Jun17349.2%
 
Jul17049.0%
 
Apr15988.5%
 
May14947.9%
 
Aug12486.6%
 
Dec11816.3%
 
Sep11456.1%
 
Other values (2)16608.8%
 
2022-11-29T19:04:48.121548image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-11-29T19:04:48.290160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length3
Mean length3
Min length3

wstation_usaf
Categorical

HIGH CARDINALITY

Distinct1545
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size147.6 KiB
999999
 
644
722348
 
351
785140
 
272
722170
 
197
723200
 
177
Other values (1540)
17247 
ValueCountFrequency (%) 
9999996443.4%
 
7223483511.9%
 
7851402721.4%
 
7221701971.0%
 
7232001770.9%
 
7232351680.9%
 
7251801440.8%
 
7275501390.7%
 
7224701360.7%
 
7223401340.7%
 
Other values (1535)1652687.5%
 
2022-11-29T19:04:48.503158image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique299 ?
Unique (%)1.6%
2022-11-29T19:04:48.730689image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length6
Median length6
Mean length6
Min length6

dstation_m
Real number (ℝ≥0)

Distinct18608
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36488.62981
Minimum128.5288825
Maximum197000.4751
Zeros0
Zeros (%)0.0%
Memory size147.6 KiB
2022-11-29T19:04:48.954218image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum128.5288825
5-th percentile7156.906541
Q118573.65573
median31630.11727
Q348850.01344
95-th percentile83540.5629
Maximum197000.4751
Range196871.9462
Interquartile range (IQR)30276.35771

Descriptive statistics

Standard deviation24007.80129
Coefficient of variation (CV)0.6579529409
Kurtosis1.897884587
Mean36488.62981
Median Absolute Deviation (MAD)14595.79779
Skewness1.196643586
Sum689197239.9
Variance576374523
MonotocityNot monotonic
2022-11-29T19:04:49.182254image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
11620.937569< 0.1%
 
23880.954068< 0.1%
 
4248.5235177< 0.1%
 
14838.944447< 0.1%
 
73111.344277< 0.1%
 
56062.324346< 0.1%
 
19052.140455< 0.1%
 
94055.442215< 0.1%
 
13555.350335< 0.1%
 
18683.426915< 0.1%
 
Other values (18598)1882499.7%
 
ValueCountFrequency (%) 
128.52888251< 0.1%
 
143.08367591< 0.1%
 
402.02072991< 0.1%
 
480.53816431< 0.1%
 
534.7598581< 0.1%
 
ValueCountFrequency (%) 
197000.47511< 0.1%
 
184797.34981< 0.1%
 
179167.59241< 0.1%
 
176462.16991< 0.1%
 
174414.07381< 0.1%
 

wstation_wban
Real number (ℝ≥0)

Distinct1189
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59369.41354
Minimum100
Maximum99999
Zeros0
Zeros (%)0.0%
Memory size147.6 KiB
2022-11-29T19:04:49.421697image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile3717.7
Q113894
median63882
Q399999
95-th percentile99999
Maximum99999
Range99899
Interquartile range (IQR)86105

Descriptive statistics

Standard deviation41151.49112
Coefficient of variation (CV)0.6931429614
Kurtosis-1.7537716
Mean59369.41354
Median Absolute Deviation (MAD)36117
Skewness-0.2332263753
Sum1121369483
Variance1693445221
MonotocityNot monotonic
2022-11-29T19:04:49.749711image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
99999735238.9%
 
538083031.6%
 
116032721.4%
 
38131971.0%
 
39011790.9%
 
138961680.9%
 
147351440.8%
 
138651340.7%
 
149581250.7%
 
139781200.6%
 
Other values (1179)989452.4%
 
ValueCountFrequency (%) 
1004< 0.1%
 
1202< 0.1%
 
1224< 0.1%
 
127100.1%
 
1285< 0.1%
 
ValueCountFrequency (%) 
99999735238.9%
 
964021< 0.1%
 
949995< 0.1%
 
949974< 0.1%
 
949944< 0.1%
 

wstation_byear
Real number (ℝ≥0)

Distinct78
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1981.232264
Minimum1931
Maximum2014
Zeros0
Zeros (%)0.0%
Memory size147.6 KiB
2022-11-29T19:04:50.121795image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1931
5-th percentile1942
Q11973
median1983
Q32006
95-th percentile2008
Maximum2014
Range83
Interquartile range (IQR)33

Descriptive statistics

Standard deviation23.8479814
Coefficient of variation (CV)0.01203694379
Kurtosis-1.107937111
Mean1981.232264
Median Absolute Deviation (MAD)22
Skewness-0.4810906114
Sum37421515
Variance568.7262169
MonotocityNot monotonic
2022-11-29T19:04:50.372796image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1973391520.7%
 
2006383920.3%
 
194211816.3%
 
20057864.2%
 
19906303.3%
 
19455542.9%
 
19415342.8%
 
19434542.4%
 
19774442.4%
 
19994002.1%
 
Other values (68)615132.6%
 
ValueCountFrequency (%) 
19315< 0.1%
 
19322< 0.1%
 
1933160.1%
 
1935950.5%
 
1936410.2%
 
ValueCountFrequency (%) 
20145< 0.1%
 
2013400.2%
 
2012640.3%
 
20111480.8%
 
20102311.2%
 

wstation_eyear
Real number (ℝ≥0)

Distinct28
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.415131
Minimum1993
Maximum2020
Zeros0
Zeros (%)0.0%
Memory size147.6 KiB
2022-11-29T19:04:50.601811image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1993
5-th percentile2005
Q12016
median2020
Q32020
95-th percentile2020
Maximum2020
Range27
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.219506883
Coefficient of variation (CV)0.003084437717
Kurtosis0.5342934477
Mean2016.415131
Median Absolute Deviation (MAD)0
Skewness-1.439382547
Sum38086049
Variance38.68226587
MonotocityNot monotonic
2022-11-29T19:04:50.795487image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
20201259066.7%
 
2005224911.9%
 
20108304.4%
 
20187704.1%
 
20197203.8%
 
20043812.0%
 
19991680.9%
 
20031630.9%
 
20091200.6%
 
20081100.6%
 
Other values (18)7874.2%
 
ValueCountFrequency (%) 
19934< 0.1%
 
19944< 0.1%
 
1995180.1%
 
1996610.3%
 
19979< 0.1%
 
ValueCountFrequency (%) 
20201259066.7%
 
20197203.8%
 
20187704.1%
 
2017600.3%
 
2016920.5%
 

fire_mag
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size147.6 KiB
0.1
18888 
ValueCountFrequency (%) 
0.118888100.0%
 
2022-11-29T19:04:50.922009image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

weather_file
Categorical

HIGH CARDINALITY

Distinct7513
Distinct (%)39.8%
Missing0
Missing (%)0.0%
Memory size147.6 KiB
999999-94943-2005.gz
 
102
999999-94060-2011.gz
 
94
999999-54828-2006.gz
 
72
785140-99999-2005.gz
 
61
999999-54918-2013.gz
 
61
Other values (7508)
18498 
ValueCountFrequency (%) 
999999-94943-2005.gz1020.5%
 
999999-94060-2011.gz940.5%
 
999999-54828-2006.gz720.4%
 
785140-99999-2005.gz610.3%
 
999999-54918-2013.gz610.3%
 
999999-73801-2012.gz590.3%
 
999999-63896-2007.gz580.3%
 
999999-53927-2015.gz500.3%
 
785140-11603-2006.gz470.2%
 
999999-63898-2008.gz390.2%
 
Other values (7503)1824596.6%
 
2022-11-29T19:04:51.129083image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3848 ?
Unique (%)20.4%
2022-11-29T19:04:51.342646image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length20
Median length20
Mean length20
Min length20

Temp_pre_30
Real number (ℝ)

HIGH CORRELATION

Distinct18129
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.36999162
Minimum-49.21052632
Maximum46.6
Zeros0
Zeros (%)0.0%
Memory size147.6 KiB
2022-11-29T19:04:51.544649image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-49.21052632
5-th percentile1.466425627
Q18.664419461
median15.17630074
Q322.99416399
95-th percentile28.26753237
Maximum46.6
Range95.81052632
Interquartile range (IQR)14.32974452

Descriptive statistics

Standard deviation8.711087557
Coefficient of variation (CV)0.5667594215
Kurtosis-0.4842156007
Mean15.36999162
Median Absolute Deviation (MAD)7.13159823
Skewness-0.1778253601
Sum290308.4017
Variance75.88304643
MonotocityNot monotonic
2022-11-29T19:04:51.764648image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
15.4552794550.3%
 
228< 0.1%
 
17< 0.1%
 
24.544464616< 0.1%
 
136< 0.1%
 
215< 0.1%
 
8.853771935< 0.1%
 
255< 0.1%
 
-9.5605787045< 0.1%
 
15.718551675< 0.1%
 
Other values (18119)1878199.4%
 
ValueCountFrequency (%) 
-49.210526322< 0.1%
 
-18.81< 0.1%
 
-14.61< 0.1%
 
-14.160823171< 0.1%
 
-13.731014121< 0.1%
 
ValueCountFrequency (%) 
46.61< 0.1%
 
41.677819551< 0.1%
 
401< 0.1%
 
37.050997781< 0.1%
 
371< 0.1%
 

Temp_pre_15
Real number (ℝ)

HIGH CORRELATION

Distinct17379
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.10246535
Minimum-37
Maximum51.56779661
Zeros0
Zeros (%)0.0%
Memory size147.6 KiB
2022-11-29T19:04:51.983672image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-37
5-th percentile2.679643511
Q19.77149066
median16.18845909
Q323.14290875
95-th percentile28.66981802
Maximum51.56779661
Range88.56779661
Interquartile range (IQR)13.37141809

Descriptive statistics

Standard deviation8.314156088
Coefficient of variation (CV)0.5163281466
Kurtosis-0.6078519181
Mean16.10246535
Median Absolute Deviation (MAD)6.681858667
Skewness-0.1443350873
Sum304143.3655
Variance69.12519146
MonotocityNot monotonic
2022-11-29T19:04:52.200670image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
16.188459097864.2%
 
16< 0.1%
 
25.167857146< 0.1%
 
16.541806725< 0.1%
 
11.354971865< 0.1%
 
-7.7517129635< 0.1%
 
175< 0.1%
 
135< 0.1%
 
24.636815924< 0.1%
 
94< 0.1%
 
Other values (17369)1805795.6%
 
ValueCountFrequency (%) 
-371< 0.1%
 
-18.81< 0.1%
 
-17.368835381< 0.1%
 
-16.932090761< 0.1%
 
-13.858833062< 0.1%
 
ValueCountFrequency (%) 
51.567796611< 0.1%
 
461< 0.1%
 
401< 0.1%
 
38.030434781< 0.1%
 
37.858585861< 0.1%
 

Temp_pre_7
Real number (ℝ)

HIGH CORRELATION

Distinct16861
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.52110675
Minimum-19.57113095
Maximum52.01449275
Zeros0
Zeros (%)0.0%
Memory size147.6 KiB
2022-11-29T19:04:52.427305image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-19.57113095
5-th percentile3.144484602
Q110.34668207
median16.61028145
Q323.32747702
95-th percentile29.07407949
Maximum52.01449275
Range71.5856237
Interquartile range (IQR)12.98079495

Descriptive statistics

Standard deviation8.203914159
Coefficient of variation (CV)0.4965717057
Kurtosis-0.5805156097
Mean16.52110675
Median Absolute Deviation (MAD)6.496664452
Skewness-0.1623049781
Sum312050.6643
Variance67.30420753
MonotocityNot monotonic
2022-11-29T19:04:52.699479image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
16.6102814511145.9%
 
25.2031256< 0.1%
 
16< 0.1%
 
185< 0.1%
 
-3.9057043655< 0.1%
 
125< 0.1%
 
16.893585865< 0.1%
 
245< 0.1%
 
23.85< 0.1%
 
26.55< 0.1%
 
Other values (16851)1772793.9%
 
ValueCountFrequency (%) 
-19.571130951< 0.1%
 
-18.0781< 0.1%
 
-16.459950372< 0.1%
 
-15.920833331< 0.1%
 
-15.289925561< 0.1%
 
ValueCountFrequency (%) 
52.014492751< 0.1%
 
50.51< 0.1%
 
401< 0.1%
 
38.521739131< 0.1%
 
38.058823531< 0.1%
 

Temp_cont
Real number (ℝ)

HIGH CORRELATION

Distinct18243
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.50312815
Minimum-16.72625815
Maximum52
Zeros0
Zeros (%)0.0%
Memory size147.6 KiB
2022-11-29T19:04:52.948430image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-16.72625815
5-th percentile3.540499155
Q110.70561665
median16.27466785
Q323.21641543
95-th percentile28.37064247
Maximum52
Range68.72625815
Interquartile range (IQR)12.51079879

Descriptive statistics

Standard deviation7.914882523
Coefficient of variation (CV)0.479598925
Kurtosis-0.5480868157
Mean16.50312815
Median Absolute Deviation (MAD)6.16819652
Skewness-0.1635120452
Sum311711.0846
Variance62.64536535
MonotocityNot monotonic
2022-11-29T19:04:53.176996image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
227< 0.1%
 
96< 0.1%
 
16< 0.1%
 
246< 0.1%
 
25.586145656< 0.1%
 
265< 0.1%
 
295< 0.1%
 
-7.0726653445< 0.1%
 
305< 0.1%
 
11.184843785< 0.1%
 
Other values (18233)1883299.7%
 
ValueCountFrequency (%) 
-16.726258151< 0.1%
 
-15.463258351< 0.1%
 
-15.170198311< 0.1%
 
-14.017953471< 0.1%
 
-13.553646081< 0.1%
 
ValueCountFrequency (%) 
521< 0.1%
 
48.42003631< 0.1%
 
39.41< 0.1%
 
37.828571431< 0.1%
 
37.573690731< 0.1%
 

Wind_pre_30
Real number (ℝ≥0)

HIGH CORRELATION

Distinct17926
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.114361714
Minimum0.025694444
Maximum29.8
Zeros0
Zeros (%)0.0%
Memory size147.6 KiB
2022-11-29T19:04:53.398596image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.025694444
5-th percentile1.456921603
Q12.31648112
median3.0342676
Q33.785716758
95-th percentile5.115455877
Maximum29.8
Range29.77430556
Interquartile range (IQR)1.469235638

Descriptive statistics

Standard deviation1.138263427
Coefficient of variation (CV)0.3654885115
Kurtosis16.89360534
Mean3.114361714
Median Absolute Deviation (MAD)0.7307539685
Skewness1.294534269
Sum58824.06406
Variance1.29564363
MonotocityNot monotonic
2022-11-29T19:04:53.731653image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3.1567259142231.2%
 
5.1140.1%
 
3.1130.1%
 
2.6100.1%
 
3.69< 0.1%
 
3.8626593816< 0.1%
 
2.16< 0.1%
 
2.0158995825< 0.1%
 
2.555< 0.1%
 
3.9072374235< 0.1%
 
Other values (17916)1859298.4%
 
ValueCountFrequency (%) 
0.0256944441< 0.1%
 
0.231< 0.1%
 
0.2597014931< 0.1%
 
0.2733333331< 0.1%
 
0.278260871< 0.1%
 
ValueCountFrequency (%) 
29.81< 0.1%
 
12.792079211< 0.1%
 
10.785003111< 0.1%
 
10.370786521< 0.1%
 
9.1315825691< 0.1%
 

Wind_pre_15
Real number (ℝ≥0)

HIGH CORRELATION

Distinct17107
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.112187232
Minimum0.017250324
Maximum29.8
Zeros0
Zeros (%)0.0%
Memory size147.6 KiB
2022-11-29T19:04:54.012646image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.017250324
5-th percentile1.421835953
Q12.302857244
median3.08285078
Q33.75965812
95-th percentile5.152247713
Maximum29.8
Range29.78274968
Interquartile range (IQR)1.456800877

Descriptive statistics

Standard deviation1.1560003
Coefficient of variation (CV)0.3714430444
Kurtosis16.13083126
Mean3.112187232
Median Absolute Deviation (MAD)0.734400775
Skewness1.297402001
Sum58782.99245
Variance1.336336694
MonotocityNot monotonic
2022-11-29T19:04:54.251654image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3.155157119615.1%
 
3.1130.1%
 
3.69< 0.1%
 
5.18< 0.1%
 
2.66< 0.1%
 
3.5478571436< 0.1%
 
3.5327683625< 0.1%
 
3.355< 0.1%
 
4.1163888895< 0.1%
 
2.0291316535< 0.1%
 
Other values (17097)1786594.6%
 
ValueCountFrequency (%) 
0.0172503241< 0.1%
 
0.0173347781< 0.1%
 
0.0313888891< 0.1%
 
0.0789473681< 0.1%
 
0.2045592711< 0.1%
 
ValueCountFrequency (%) 
29.81< 0.1%
 
14.079320111< 0.1%
 
10.592534991< 0.1%
 
9.9297752811< 0.1%
 
9.236315161< 0.1%
 

Wind_pre_7
Real number (ℝ≥0)

Distinct16375
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.095403008
Minimum0.012560386
Maximum15.70658683
Zeros0
Zeros (%)0.0%
Memory size147.6 KiB
2022-11-29T19:04:54.481254image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.012560386
5-th percentile1.288655303
Q12.249630216
median3.083719605
Q33.756654705
95-th percentile5.288194445
Maximum15.70658683
Range15.69402644
Interquartile range (IQR)1.507024489

Descriptive statistics

Standard deviation1.219495497
Coefficient of variation (CV)0.3939698623
Kurtosis2.052492405
Mean3.095403008
Median Absolute Deviation (MAD)0.764175954
Skewness0.8043221974
Sum58465.97202
Variance1.487169268
MonotocityNot monotonic
2022-11-29T19:04:54.724252image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3.13623989112886.8%
 
3.1140.1%
 
3.6120.1%
 
2.58< 0.1%
 
1.556< 0.1%
 
4.0256< 0.1%
 
2.3422619055< 0.1%
 
25< 0.1%
 
1.789696975< 0.1%
 
4.5535714295< 0.1%
 
Other values (16365)1753492.8%
 
ValueCountFrequency (%) 
0.0125603861< 0.1%
 
0.0184523811< 0.1%
 
0.0339622641< 0.1%
 
0.0450704231< 0.1%
 
0.1595890411< 0.1%
 
ValueCountFrequency (%) 
15.706586831< 0.1%
 
12.681673311< 0.1%
 
11.628571431< 0.1%
 
10.751< 0.1%
 
10.248961041< 0.1%
 

Wind_cont
Real number (ℝ≥0)

Distinct18023
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.100929472
Minimum0.02517857133
Maximum20.91207996
Zeros0
Zeros (%)0.0%
Memory size147.6 KiB
2022-11-29T19:04:54.948771image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.02517857133
5-th percentile1.442011005
Q12.32716157
median3.005855469
Q33.754412443
95-th percentile5.1
Maximum20.91207996
Range20.88690139
Interquartile range (IQR)1.427250873

Descriptive statistics

Standard deviation1.128792587
Coefficient of variation (CV)0.3640174979
Kurtosis4.589237259
Mean3.100929472
Median Absolute Deviation (MAD)0.7070006824
Skewness0.8791208548
Sum58570.35586
Variance1.274172705
MonotocityNot monotonic
2022-11-29T19:04:55.154302image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3.1493743051580.8%
 
5.1100.1%
 
3.19< 0.1%
 
3.69< 0.1%
 
2.68< 0.1%
 
7.77< 0.1%
 
3.96< 0.1%
 
3.4344582596< 0.1%
 
2.55< 0.1%
 
3.155< 0.1%
 
Other values (18013)1866598.8%
 
ValueCountFrequency (%) 
0.025178571331< 0.1%
 
0.1559633031< 0.1%
 
0.2294642861< 0.1%
 
0.2603773581< 0.1%
 
0.2621212121< 0.1%
 
ValueCountFrequency (%) 
20.912079961< 0.1%
 
14.192662051< 0.1%
 
9.8280701751< 0.1%
 
9.6251< 0.1%
 
9.0652482271< 0.1%
 

Hum_pre_30
Real number (ℝ≥0)

HIGH CORRELATION

Distinct17575
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.9509766
Minimum6
Maximum96
Zeros0
Zeros (%)0.0%
Memory size147.6 KiB
2022-11-29T19:04:55.388453image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile38.190102
Q158.6751488
median64.97227556
Q370.75416706
95-th percentile77.66352277
Maximum96
Range90
Interquartile range (IQR)12.07901826

Descriptive statistics

Standard deviation11.9220832
Coefficient of variation (CV)0.189386787
Kurtosis2.163403178
Mean62.9509766
Median Absolute Deviation (MAD)5.96835176
Skewness-1.270936946
Sum1189018.046
Variance142.1360678
MonotocityNot monotonic
2022-11-29T19:04:55.643455image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
62.183339456263.3%
 
527< 0.1%
 
74.613138696< 0.1%
 
676< 0.1%
 
885< 0.1%
 
615< 0.1%
 
665< 0.1%
 
60.777087035< 0.1%
 
72.391242274< 0.1%
 
64.216494854< 0.1%
 
Other values (17565)1821596.4%
 
ValueCountFrequency (%) 
61< 0.1%
 
9.3511659811< 0.1%
 
113< 0.1%
 
11.939310341< 0.1%
 
123< 0.1%
 
ValueCountFrequency (%) 
961< 0.1%
 
944< 0.1%
 
93.916666671< 0.1%
 
92.142857141< 0.1%
 
92.081632651< 0.1%
 

Hum_pre_15
Real number (ℝ≥0)

HIGH CORRELATION

Distinct16813
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.77658821
Minimum6
Maximum94
Zeros0
Zeros (%)0.0%
Memory size147.6 KiB
2022-11-29T19:04:55.924450image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile37.01955612
Q157.19107047
median63.14755136
Q369.80668673
95-th percentile77.58491068
Maximum94
Range88
Interquartile range (IQR)12.61561626

Descriptive statistics

Standard deviation12.09754933
Coefficient of variation (CV)0.1958274111
Kurtosis1.902839272
Mean61.77658821
Median Absolute Deviation (MAD)6.3858683
Skewness-1.140958106
Sum1166836.198
Variance146.3506999
MonotocityNot monotonic
2022-11-29T19:04:56.145457image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
60.9772057513537.2%
 
686< 0.1%
 
75.24372766< 0.1%
 
615< 0.1%
 
51.97523815< 0.1%
 
585< 0.1%
 
62.435517974< 0.1%
 
644< 0.1%
 
62.966666674< 0.1%
 
694< 0.1%
 
Other values (16803)1749292.6%
 
ValueCountFrequency (%) 
61< 0.1%
 
6.41< 0.1%
 
7.5479452051< 0.1%
 
8.4527777781< 0.1%
 
10.991525421< 0.1%
 
ValueCountFrequency (%) 
943< 0.1%
 
93.751< 0.1%
 
93.454545451< 0.1%
 
93.142857141< 0.1%
 
931< 0.1%
 

Hum_pre_7
Real number (ℝ≥0)

HIGH CORRELATION

Distinct16187
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.63436986
Minimum5.976608187
Maximum95.24
Zeros0
Zeros (%)0.0%
Memory size147.6 KiB
2022-11-29T19:04:56.507008image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.976608187
5-th percentile35.67166723
Q155.00595238
median61.35696339
Q369.21666845
95-th percentile78.07054508
Maximum95.24
Range89.26339181
Interquartile range (IQR)14.21071607

Descriptive statistics

Standard deviation12.68578564
Coefficient of variation (CV)0.2092177369
Kurtosis1.308905996
Mean60.63436986
Median Absolute Deviation (MAD)7.307039075
Skewness-0.9193486946
Sum1145261.978
Variance160.9291574
MonotocityNot monotonic
2022-11-29T19:04:56.791572image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
59.8110441616698.8%
 
70120.1%
 
496< 0.1%
 
696< 0.1%
 
74.99218756< 0.1%
 
416< 0.1%
 
486< 0.1%
 
785< 0.1%
 
615< 0.1%
 
59.55< 0.1%
 
Other values (16177)1716290.9%
 
ValueCountFrequency (%) 
5.9766081871< 0.1%
 
61< 0.1%
 
6.41< 0.1%
 
8.1468144041< 0.1%
 
8.8833333331< 0.1%
 
ValueCountFrequency (%) 
95.241< 0.1%
 
945< 0.1%
 
93.513513511< 0.1%
 
92.513761471< 0.1%
 
91.527272731< 0.1%
 

Hum_cont
Real number (ℝ≥0)

Distinct17674
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.27396022
Minimum7.458333333
Maximum94
Zeros0
Zeros (%)0.0%
Memory size147.6 KiB
2022-11-29T19:04:57.020440image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum7.458333333
5-th percentile37.77288972
Q157.67119464
median64.12309308
Q370.17274448
95-th percentile77.67273867
Maximum94
Range86.54166667
Interquartile range (IQR)12.50154984

Descriptive statistics

Standard deviation12.0159089
Coefficient of variation (CV)0.192952381
Kurtosis2.059463339
Mean62.27396022
Median Absolute Deviation (MAD)6.185458915
Skewness-1.210037996
Sum1176230.561
Variance144.3820667
MonotocityNot monotonic
2022-11-29T19:04:57.236278image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
60.990529795603.0%
 
75.526690396< 0.1%
 
665< 0.1%
 
655< 0.1%
 
58.822914355< 0.1%
 
645< 0.1%
 
705< 0.1%
 
615< 0.1%
 
445< 0.1%
 
364< 0.1%
 
Other values (17664)1828396.8%
 
ValueCountFrequency (%) 
7.4583333331< 0.1%
 
8.5769230771< 0.1%
 
9.1666666671< 0.1%
 
9.61< 0.1%
 
9.8666666671< 0.1%
 
ValueCountFrequency (%) 
942< 0.1%
 
931< 0.1%
 
91.298597191< 0.1%
 
91.277777781< 0.1%
 
91.133333331< 0.1%
 

Prec_pre_30
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2141
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.95158302
Minimum0
Maximum13560.8
Zeros8533
Zeros (%)45.2%
Memory size147.6 KiB
2022-11-29T19:04:57.460725image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.3
Q348
95-th percentile154.1
Maximum13560.8
Range13560.8
Interquartile range (IQR)48

Descriptive statistics

Standard deviation149.2364464
Coefficient of variation (CV)3.644216791
Kurtosis3672.289903
Mean40.95158302
Median Absolute Deviation (MAD)3.3
Skewness45.06388425
Sum773493.5
Variance22271.51694
MonotocityNot monotonic
2022-11-29T19:04:57.707723image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0853345.2%
 
0.31280.7%
 
0.8880.5%
 
0.5830.4%
 
1600.3%
 
1.8570.3%
 
4.1430.2%
 
1.3430.2%
 
3.3430.2%
 
3.6360.2%
 
Other values (2131)977451.7%
 
ValueCountFrequency (%) 
0853345.2%
 
0.31280.7%
 
0.5830.4%
 
0.6290.2%
 
0.8880.5%
 
ValueCountFrequency (%) 
13560.81< 0.1%
 
4936.71< 0.1%
 
28391< 0.1%
 
27971< 0.1%
 
25272< 0.1%
 

Prec_pre_15
Real number (ℝ≥0)

ZEROS

Distinct1346
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.13695468
Minimum0
Maximum2527
Zeros9945
Zeros (%)52.7%
Memory size147.6 KiB
2022-11-29T19:04:58.127341image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q317
95-th percentile76.8
Maximum2527
Range2527
Interquartile range (IQR)17

Descriptive statistics

Standard deviation60.97184993
Coefficient of variation (CV)3.361746832
Kurtosis330.8871964
Mean18.13695468
Median Absolute Deviation (MAD)0
Skewness14.10509987
Sum342570.8
Variance3717.566484
MonotocityNot monotonic
2022-11-29T19:04:58.769466image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0994552.7%
 
0.32871.5%
 
0.51380.7%
 
0.81300.7%
 
1.31050.6%
 
11050.6%
 
0.6790.4%
 
1.5790.4%
 
1.8740.4%
 
2.3670.4%
 
Other values (1336)787941.7%
 
ValueCountFrequency (%) 
0994552.7%
 
0.32871.5%
 
0.51380.7%
 
0.6790.4%
 
0.81300.7%
 
ValueCountFrequency (%) 
25271< 0.1%
 
16382< 0.1%
 
14001< 0.1%
 
12581< 0.1%
 
12501< 0.1%
 

Prec_pre_7
Real number (ℝ≥0)

ZEROS

Distinct849
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.557645066
Minimum0
Maximum1250
Zeros12147
Zeros (%)64.3%
Memory size147.6 KiB
2022-11-29T19:04:59.139549image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.8
95-th percentile36.365
Maximum1250
Range1250
Interquartile range (IQR)2.8

Descriptive statistics

Standard deviation33.84664473
Coefficient of variation (CV)4.478464447
Kurtosis434.8771182
Mean7.557645066
Median Absolute Deviation (MAD)0
Skewness16.95700356
Sum142748.8
Variance1145.59536
MonotocityNot monotonic
2022-11-29T19:04:59.387124image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01214764.3%
 
0.34782.5%
 
0.52011.1%
 
0.81770.9%
 
11620.9%
 
0.61420.8%
 
1.31410.7%
 
1.81090.6%
 
21020.5%
 
1.5900.5%
 
Other values (839)513927.2%
 
ValueCountFrequency (%) 
01214764.3%
 
0.34782.5%
 
0.52011.1%
 
0.61420.8%
 
0.81770.9%
 
ValueCountFrequency (%) 
12501< 0.1%
 
11451< 0.1%
 
11361< 0.1%
 
10881< 0.1%
 
10681< 0.1%
 

Prec_cont
Real number (ℝ≥0)

ZEROS

Distinct1867
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.4877806
Minimum0
Maximum2126
Zeros13469
Zeros (%)71.3%
Memory size147.6 KiB
2022-11-29T19:04:59.646319image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37.525
95-th percentile129.165
Maximum2126
Range2126
Interquartile range (IQR)7.525

Descriptive statistics

Standard deviation72.29766591
Coefficient of variation (CV)3.078096953
Kurtosis197.2194448
Mean23.4877806
Median Absolute Deviation (MAD)0
Skewness10.39687794
Sum443637.2
Variance5226.952495
MonotocityNot monotonic
2022-11-29T19:04:59.880692image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01346971.3%
 
0.3860.5%
 
0.5420.2%
 
0.8350.2%
 
1320.2%
 
1.3240.1%
 
1.8220.1%
 
2170.1%
 
6.9170.1%
 
0.6170.1%
 
Other values (1857)512727.1%
 
ValueCountFrequency (%) 
01346971.3%
 
0.3860.5%
 
0.5420.2%
 
0.6170.1%
 
0.8350.2%
 
ValueCountFrequency (%) 
21261< 0.1%
 
20211< 0.1%
 
19061< 0.1%
 
17431< 0.1%
 
1650.61< 0.1%
 

remoteness
Real number (ℝ≥0)

HIGH CORRELATION

Distinct18589
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2352705835
Minimum0.000390296094
Maximum0.98889249
Zeros0
Zeros (%)0.0%
Memory size147.6 KiB
2022-11-29T19:05:00.146712image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.000390296094
5-th percentile0.06191042072
Q10.137699993
median0.2072654738
Q30.2860982792
95-th percentile0.5041939973
Maximum0.98889249
Range0.9885021939
Interquartile range (IQR)0.1483982862

Descriptive statistics

Standard deviation0.1346611626
Coefficient of variation (CV)0.5723671894
Kurtosis1.667518165
Mean0.2352705835
Median Absolute Deviation (MAD)0.07316297184
Skewness1.102338867
Sum4443.790781
Variance0.01813362871
MonotocityNot monotonic
2022-11-29T19:05:00.404358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.02030765859< 0.1%
 
0.021675606518< 0.1%
 
0.017329261287< 0.1%
 
0.020294427027< 0.1%
 
0.020868624377< 0.1%
 
0.019328026086< 0.1%
 
0.020407552635< 0.1%
 
0.021667114565< 0.1%
 
0.40219453595< 0.1%
 
0.02005789145< 0.1%
 
Other values (18579)1882499.7%
 
ValueCountFrequency (%) 
0.0003902960941< 0.1%
 
0.00054861170971< 0.1%
 
0.001158080821< 0.1%
 
0.002213407941< 0.1%
 
0.0039704088991< 0.1%
 
ValueCountFrequency (%) 
0.988892491< 0.1%
 
0.96134800231< 0.1%
 
0.94338461041< 0.1%
 
0.94322119021< 0.1%
 
0.94179226981< 0.1%
 

Cause
Categorical

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.1 KiB
Debris Burning
5805 
Miscellaneous
3390 
Arson
2851 
Missing/Undefined
1545 
Equipment Use
1509 
Other values (8)
3788 
ValueCountFrequency (%) 
Debris Burning580530.7%
 
Miscellaneous339017.9%
 
Arson285115.1%
 
Missing/Undefined15458.2%
 
Equipment Use15098.0%
 
Lightning14827.8%
 
Children6483.4%
 
Smoking5142.7%
 
Campfire5082.7%
 
Railroad3151.7%
 
Other values (3)3211.7%
 
2022-11-29T19:05:00.742353image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-11-29T19:05:00.964421image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length17
Median length13
Mean length11.492482
Min length5
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
0
18572 
1
 
316
ValueCountFrequency (%) 
01857298.3%
 
13161.7%
 
2022-11-29T19:05:01.081424image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
0
17614 
1
 
1274
ValueCountFrequency (%) 
01761493.3%
 
112746.7%
 
2022-11-29T19:05:01.141423image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
0
12536 
1
6352 
ValueCountFrequency (%) 
01253666.4%
 
1635233.6%
 
2022-11-29T19:05:01.201946image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
0
18681 
1
 
207
ValueCountFrequency (%) 
01868198.9%
 
12071.1%
 
2022-11-29T19:05:01.260943image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
0
15044 
1
3844 
ValueCountFrequency (%) 
01504479.6%
 
1384420.4%
 
2022-11-29T19:05:01.315900image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
0
14767 
1
4121 
ValueCountFrequency (%) 
01476778.2%
 
1412121.8%
 
2022-11-29T19:05:01.372497image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
0
18380 
1
 
508
ValueCountFrequency (%) 
01838097.3%
 
15082.7%
 
2022-11-29T19:05:01.428468image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
0
18240 
1
 
648
ValueCountFrequency (%) 
01824096.6%
 
16483.4%
 
2022-11-29T19:05:01.496585image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
0
13083 
1
5805 
ValueCountFrequency (%) 
01308369.3%
 
1580530.7%
 
2022-11-29T19:05:01.557588image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
0
17379 
1
 
1509
ValueCountFrequency (%) 
01737992.0%
 
115098.0%
 
2022-11-29T19:05:01.614631image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
0
18787 
1
 
101
ValueCountFrequency (%) 
01878799.5%
 
11010.5%
 
2022-11-29T19:05:01.680588image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
0
17406 
1
 
1482
ValueCountFrequency (%) 
01740692.2%
 
114827.8%
 
2022-11-29T19:05:01.742587image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
0
15498 
1
3390 
ValueCountFrequency (%) 
01549882.1%
 
1339017.9%
 
2022-11-29T19:05:01.810620image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
0
17343 
1
 
1545
ValueCountFrequency (%) 
01734391.8%
 
115458.2%
 
2022-11-29T19:05:01.884597image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
0
18706 
1
 
182
ValueCountFrequency (%) 
01870699.0%
 
11821.0%
 
2022-11-29T19:05:01.955587image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
0
18573 
1
 
315
ValueCountFrequency (%) 
01857398.3%
 
13151.7%
 
2022-11-29T19:05:02.039163image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
0
18374 
1
 
514
ValueCountFrequency (%) 
01837497.3%
 
15142.7%
 
2022-11-29T19:05:02.101127image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.4 KiB
0
18850 
1
 
38
ValueCountFrequency (%) 
01885099.8%
 
1380.2%
 
2022-11-29T19:05:02.166164image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Region
Real number (ℝ)

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.060673443
Minimum-1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size147.6 KiB
2022-11-29T19:05:02.265684image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile2
Q18
median8
Q38
95-th percentile9
Maximum10
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.282649122
Coefficient of variation (CV)0.3232905671
Kurtosis2.206435985
Mean7.060673443
Median Absolute Deviation (MAD)0
Skewness-1.750510011
Sum133362
Variance5.210487014
MonotocityNot monotonic
2022-11-29T19:05:02.417941image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
81141360.4%
 
9287815.2%
 
515598.3%
 
27864.2%
 
45002.6%
 
34942.6%
 
14892.6%
 
64152.2%
 
-12921.5%
 
10620.3%
 
ValueCountFrequency (%) 
-12921.5%
 
14892.6%
 
27864.2%
 
34942.6%
 
45002.6%
 
ValueCountFrequency (%) 
10620.3%
 
9287815.2%
 
81141360.4%
 
64152.2%
 
515598.3%
 

Interactions

2022-11-29T19:01:56.907557image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:01:57.074724image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:01:57.246763image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:01:57.411747image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:01:57.589605image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:01:57.781798image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:01:58.070545image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:01:58.233556image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:01:58.396744image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:01:58.565532image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:01:58.754928image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:01:58.944875image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:01:59.139742image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:01:59.315397image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:01:59.485765image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:01:59.650781image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:01:59.818380image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:01:59.973658image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:02:00.158305image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:02:00.319218image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:02:00.479955image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2022-11-29T19:04:06.906614image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:07.101617image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:07.306627image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:07.551654image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:07.746547image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:08.004544image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:08.223745image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:08.418270image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:08.600833image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:08.785829image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:08.955668image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:09.155317image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:09.330238image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:09.528239image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:09.705623image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:09.920469image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:10.162547image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:10.490547image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:10.791606image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:11.031821image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:11.277380image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:11.524963image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:11.770078image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:11.992073image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:12.181554image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:12.366320image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:12.536954image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:12.712883image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:12.892287image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:13.075202image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:13.294252image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:13.484307image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:13.647413image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:13.821414image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:14.106385image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:14.412098image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:14.839685image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:15.368359image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:15.557360image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:15.742899image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:16.005895image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:16.373896image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:16.662086image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:16.907668image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:17.071630image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:17.261635image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:17.456691image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:17.650690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:17.838367image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:18.000789image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:18.284342image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:18.630961image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:19.000930image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:19.386023image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:19.804555image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:20.128768image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:20.507058image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:20.950502image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:21.384022image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:21.765021image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:22.151078image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:22.526662image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:22.695717image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:22.899539image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:23.099557image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:23.299318image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:23.527409image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:23.826592image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:24.095594image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:24.403119image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:24.654175image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:24.878242image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:25.062822image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:25.254349image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:25.471387image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:25.676394image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:25.892393image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:26.159389image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:26.553388image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:26.973394image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:27.224393image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:27.425285image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:27.619302image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:27.815345image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:28.011414image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:28.243926image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:28.453434image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:29.486442image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:29.706438image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:29.910447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:30.103406image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:30.303479image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:30.509481image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:30.688479image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:30.870523image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:31.075489image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:31.266487image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:31.475486image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:31.683519image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:31.844206image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:32.019207image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:32.187417image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:32.364994image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:32.575560image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:32.783567image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:32.974569image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:33.157567image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:33.330698image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:33.502617image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Correlations

2022-11-29T19:05:02.802477image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-11-29T19:05:03.728530image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-11-29T19:05:04.533359image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-11-29T19:05:05.325616image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2022-11-29T19:05:06.034506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2022-11-29T19:04:34.243245image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:39.268650image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-11-29T19:04:41.022867image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Sample

First rows

df_indexfire_namefire_sizefire_size_classlatitudelongitudestatedisc_clean_datediscovery_monthdisc_date_predisc_pre_yeardisc_pre_monthwstation_usafdstation_mwstation_wbanwstation_byearwstation_eyearfire_magweather_fileTemp_pre_30Temp_pre_15Temp_pre_7Temp_contWind_pre_30Wind_pre_15Wind_pre_7Wind_contHum_pre_30Hum_pre_15Hum_pre_7Hum_contPrec_pre_30Prec_pre_15Prec_pre_7Prec_contremotenessCauseVegetation_4Vegetation_9Vegetation_12Vegetation_14Vegetation_15Vegetation_16Cause_CampfireCause_ChildrenCause_Debris BurningCause_Equipment UseCause_FireworksCause_LightningCause_MiscellaneousCause_Missing/UndefinedCause_PowerlineCause_RailroadCause_SmokingCause_StructureRegion
01NaN3.0B35.038330-87.610000TN2006-12-11Dec11/11/20062006Nov72323532665.34327013896197820200.1723235-13896-2006.gz7.5534337.0100000.34352910.4482982.7097642.8817071.9764712.12232070.84000065.85891155.50588281.68267859.88.40.086.80.184355Arson0000100000000000008
13WNA 11.0B39.641400-119.308300NV2005-06-06Jun5/7/20052005May72488043433.32978023185194220200.1724880-23185-2005.gz16.27596718.99618118.14256417.8049044.0549823.3983293.6712823.70819844.77842937.14081135.35384639.09102910.47.20.00.00.487447Debris Burning0000000010000000004
27NaN1.0B30.904720-93.557500TX2005-11-12Nov10/13/20052005Oct72282064017.11754099999198420200.1722820-99999-2005.gz16.85193916.99778320.43478311.9855601.3312571.4729491.4247832.14885772.89947875.06138177.92462370.73291128.427.51.255.40.241894Campfire0010001000000000008
38NaN1.0B35.900310-92.061180AR2007-08-08Aug7/9/20072007Jul72344842133.15187053934197320200.1723448-53934-2007.gz26.65524127.26487028.96806428.6826881.7680741.7052971.8279442.10309068.31902267.57541965.07784460.1968586.63.30.046.40.224629Arson0000100000000000008
49CRAZY1.0B48.839400-99.718500ND2004-04-19Apr3/20/20042004Mar727675129109.88140099999193620200.1727675-99999-2004.gz4.6009506.8618786.0533335.8387216.3807606.3342546.6453336.45344964.60650955.94303854.33783858.29579512.31.80.00.00.291683Miscellaneous0000100000001000001
513NaN1.0B31.767380-93.146870LA2014-07-06Jul6/6/20142014Jun7223195852.66016899999194220200.1722319-53943-2014.gz26.38449326.06816726.51904826.9273031.7716391.6297432.0190481.38218279.94001279.94212267.63095276.70679262.84.30.056.20.237431Fireworks0010000000100000008
615ROLSTON1.0B33.988609-103.135277NM1996-02-12Feb1/13/19961996Jan72268646845.65519099999197320100.1722686-23008-1996.gz3.5230452.5363648.9130958.3968106.2459316.0144045.7987956.06272638.71270745.18005540.49397633.53760410.08.00.00.00.330323Missing/Undefined0000010000000100004
718NaN1.0B35.738480-79.496950NC2007-02-22Feb1/23/20072007Jan72317434279.81158093783200620200.1723174-93783-2007.gz2.2074392.7135682.7745569.9316432.9680983.1869353.5059173.00752451.06973746.70879148.40236754.83645449.039.90.090.20.111343Missing/Undefined0000100000000100008
826STO35731552.0B35.718900-92.335000AR2014-01-19Jan12/20/20132013Dec72040116806.87914099999200720200.1720401-00133-2013.gz3.49069816.18845916.61028112.0964791.3474423.1551573.1362402.54628076.09139860.97720659.81104465.6265490.00.00.00.00.227270Debris Burning0000100010000000008
927NaN1.5B33.937500-81.304167SC1995-04-01Apr3/2/19951995Mar72310017218.33529013883197320200.1723100-13883-1995.gz14.40319416.88055615.44464315.5761312.8569443.2094442.4791672.84851960.91944454.71666755.31547656.983862133.00.00.00.00.128446Missing/Undefined0000010000000100008

Last rows

df_indexfire_namefire_sizefire_size_classlatitudelongitudestatedisc_clean_datediscovery_monthdisc_date_predisc_pre_yeardisc_pre_monthwstation_usafdstation_mwstation_wbanwstation_byearwstation_eyearfire_magweather_fileTemp_pre_30Temp_pre_15Temp_pre_7Temp_contWind_pre_30Wind_pre_15Wind_pre_7Wind_contHum_pre_30Hum_pre_15Hum_pre_7Hum_contPrec_pre_30Prec_pre_15Prec_pre_7Prec_contremotenessCauseVegetation_4Vegetation_9Vegetation_12Vegetation_14Vegetation_15Vegetation_16Cause_CampfireCause_ChildrenCause_Debris BurningCause_Equipment UseCause_FireworksCause_LightningCause_MiscellaneousCause_Missing/UndefinedCause_PowerlineCause_RailroadCause_SmokingCause_StructureRegion
1887849974WAL HOLLOW0.6B35.583300-80.716700NC2002-04-30Apr3/31/20022002Mar72315619547.45472099999200120050.1723156-99999-2002.gz17.00420217.20044517.10909117.6550542.9073532.9200452.9311362.52252258.13052656.32962156.05227364.6208270.00.00.00.00.122202Debris Burning0000100010000000008
1887949976NaN1.0B32.517060-80.959630SC2006-03-24Mar2/22/20062006Feb72208523112.29217093831200520200.1722085-93831-2006.gz14.08695115.29055112.51092918.0044653.1518023.0931762.7213113.18751766.19727966.97861065.27071866.02884623.90.00.035.90.126367Miscellaneous0010000000001000008
1888049980PETERSON LEASE1.0B33.301670-98.537193TX2010-05-28May4/28/20102010Apr72031821322.44197099999200620200.1720318-53965-2010.gz21.50488422.96798424.57791428.4631973.3631862.2007911.4398772.94628353.20617668.18085167.84567959.9642190.80.00.018.30.286877Equipment Use0000010001000000008
1888149985OLD LANE (4891)1.0B31.833413-99.044562TX2013-07-06Jul6/6/20132013Jun7226669689.49404893943194820200.1722666-93943-2013.gz27.67896028.67666427.09919028.5573933.8189604.1246492.7352233.42281550.84871642.87535138.21862355.6013610.00.00.00.00.292726Miscellaneous0010000000001000008
1888249988FY2014-GREENE-0031.1B33.717731-83.228058GA2013-12-26Dec11/26/20132013Nov72034715639.54578063877200620200.1720347-63877-2013.gz8.1698648.0449449.9423468.7190511.5220871.6523411.6739561.61612873.00335468.94666774.36853472.1061850.00.00.00.00.145718Debris Burning0000010010000000008
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